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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Golden-Particle
widget:
- text: >-
Golden Dust, A close-up shot of a golden retriever dogs face is seen in a
vibrant orange hue. The dogs fur is a mix of brown and white, and the dogs
nose is a darker shade of brown. Its eyes are a deep brown, and its ears are
a lighter brown. The background is blurred, and there are small orange dots
dotting the fur around its neck, adding a festive touch to the scene.
output:
url: images/GD1.png
- text: >-
Golden Dust, A close-up view of a cheeseburger on a table. The hamburger is
made up of a dark brown bun, with a layer of melted cheese on top of it. The
cheese is a bright yellow, and there is a red sauce dripping from the bun.
The bun is adorned with sesame seeds, adding a touch of sparkle to the
scene. The table under the hamburger, is a dark wooden table, and the
lighting is subdued, creating a stark contrast to the burger.
output:
url: images/GD2.png
- text: >-
Golden Dust, A close-up eye-level shot of a womans face, adorned with
sparkles of golden light. The womans eyes are adorned with green eyes,
adding a pop of color to the scene. Her eyebrows are a darker shade of
brown, while her eyelashes are a lighter shade of green. Her lips are a
vibrant shade of red, her nose is adorned with a light pink tint. Her hair
is a dark brown, wavy, and she has long bangs. The background is dark,
creating a stark contrast to her face.
output:
url: images/GD3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Golden Dust
license: creativeml-openrail-m
---
# Golden-Dust-Flux-LoRA
<Gallery />
- Hosted Here🧨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC
**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
## Model description
**prithivMLmods/Golden-Dust-Flux-LoRA**
Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler | constant | Noise Offset | 0.03 |
| Optimizer | AdamW | Multires Noise Discount | 0.1 |
| Network Dim | 64 | Multires Noise Iterations | 10 |
| Network Alpha | 32 | Repeat & Steps | 25 & 2500|
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 17 [ Hi-RES ]
## Other Sample Image
## Best Dimensions
- 1024 x 1024 (Default)
## Setting Up
```
import torch
from pipelines import DiffusionPipeline
base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
lora_repo = "prithivMLmods/Golden-Dust-Flux-LoRA"
trigger_word = "Golden Dust"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Data source
- https://freeflo.ai/
## Trigger words
You should use `Golden Dust` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Golden-Dust-Flux-LoRA/tree/main) them in the Files & versions tab. |